class Solution {
public int minPathSum(int[][] grid) {
if(grid == null || grid.length == 0 || grid[0].length == 0) return 0;
int rows = grid.length;
int columns = grid[0].length;
int[][] dp = new int[rows][columns];
dp[0][0] = grid[0][0];
for(int i = 1; i < rows; i++){
dp[i][0] = dp[i - 1][0] + grid[i][0];
}
for(int j = 1; j < columns; j++){
dp[0][j] = dp[0][j - 1] + grid[0][j];
}
for(int i = 1; i < rows; i++){
for(int j = 1; j < columns; j++){
dp[i][j] = Math.min(dp[i - 1][j], dp[i][j - 1]) + grid[i][j];
}
}
return dp[rows - 1][columns - 1];
}
}
归纳:
根据grid先把第一行和第一列的dp算出来(前一个点的dp+当前的grid,根据grid和dp动态规划出最小的dp